There is increasing evidence that temporal factors are important in allowing
cells to gain additional information from external factors, such as hormones and
cytokines. We sought to discover how cell responses to glucocorticoids develop
over time, and how the response kinetics vary according to ligand structure and
concentration, and hence have developed a continuous gene transcription
measurement system, based on an interleukin-6 (IL-6) luciferase reporter gene.
We measured the time to maximal response, maximal response and integrated
response, and have compared these results with a conventional, end point
glucocorticoid bioassay. We studied natural glucocorticoids (corticosterone and
cortisol), synthetic glucocorticoids (dexamethasone) and glucocorticoid
precursors with weak, or absent bioactivity. We found a close correlation
between half maximal effective concentration (EC50) for maximal response, and
for integrated response, but with consistently higher EC50 for the latter. There
was no relation between the concentration of ligand and the time to maximal
response. A comparison between conventional end point assays and real-time
measurement showed similar effects for dexamethasone and hydrocortisone, with a
less effective inhibition of IL-6 seen with corticosterone. We profiled the
activity of precursor steroids, and found pregnenolone, progesterone,
21-hydroxyprogesterone and 17-hydroxyprogesterone all to be ineffective in the
real-time assay, but in contrast, progesterone and 21-hydroxyprogesterone showed
an IL-6 inhibitory activity in the end point assay. Taken together, our data
show how ligand concentration can alter the amplitude of glucocorticoid
response, and also that a comparison between real-time and end point assays
reveals an unexpected diversity of the function of glucocorticoid precursor
steroids, with implications for human disorders associated with their
overproduction.